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Computer Science
Software Engineering
Technical Debt Management
1. Introduction to Technical Debt
2. Types of Technical Debt
3. Identifying Technical Debt
4. Measuring and Quantifying Technical Debt
5. Prioritizing Technical Debt Repayment
6. Management and Repayment Strategies
7. Tools for Technical Debt Management
8. Integrating Debt Management into the Development Lifecycle
9. Fostering a Culture of Quality
10. Advanced Topics in Technical Debt Management
Identifying Technical Debt
Static Analysis and Code Metrics
Cyclomatic Complexity
Measuring Code Complexity
Identifying High-Risk Areas
Complexity Thresholds and Guidelines
Code Churn
Tracking Frequency of Code Changes
Highlighting Unstable Components
Correlating Churn with Defects
Code Coverage
Assessing Test Thoroughness
Identifying Untested Code
Coverage Types and Metrics
Maintainability Index
Quantifying Ease of Maintenance
Comparing Across Modules
Factors Affecting Maintainability
Code Smells Detection
Identifying Common Code Smells
Automated Detection Tools
Prioritizing Smell Remediation
Dependency Analysis
Identifying Circular Dependencies
Measuring Coupling Metrics
Analyzing Dependency Graphs
Duplication Detection
Finding Copy-Paste Code
Measuring Code Similarity
Refactoring Opportunities
Manual Identification Methods
Code Reviews
Peer Review Practices
Identifying Potential Debt During Review
Review Checklists and Guidelines
Pair Programming
Real-time Debt Recognition
Knowledge Sharing
Collaborative Problem Solving
Architectural Reviews
Evaluating System Design
Spotting Architectural Weaknesses
Design Decision Documentation
Retrospectives and Team Feedback
Gathering Developer Insights
Documenting Recurring Issues
Action Item Generation
Technical Interviews and Surveys
Structured Team Assessments
Anonymous Feedback Collection
Pain Point Identification
Dynamic Analysis
Performance Profiling
Identifying Performance Bottlenecks
Analyzing Resource Utilization
Load Testing Results
Memory Leak Detection
Tools for Leak Identification
Impact on System Stability
Memory Usage Patterns
Runtime Error Analysis
Exception Tracking
Error Rate Monitoring
Failure Pattern Analysis
Creating a Technical Debt Registry
Purpose and Benefits
Centralized Tracking
Visibility for Stakeholders
Historical Trend Analysis
Tracking Tools
Issue Trackers
Custom Debt Logs
Integrated Development Environment Plugins
Information to Capture for Each Debt Item
Description of Debt
Location in Codebase
Impact Assessment
Estimated Remediation Effort
Priority and Status
Creation Date and Reporter
Business Impact
Registry Maintenance
Regular Review Processes
Debt Item Lifecycle Management
Stakeholder Communication
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2. Types of Technical Debt
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4. Measuring and Quantifying Technical Debt